在生成式AI时代测量创造力：区分人类与AI生成的创造力表现于招聘与人才系统
Measuring Creativity in the Age of Generative AI: Distinguishing Human and AI-Generated Creative Performance in Hiring and Talent Systems
AI总结：
本文提出通过嵌入空间中的创意生成与转换来量化创造力，揭示AI环境下创意输出的双峰分布特征，强调在生成式AI时代，独特性而非流畅性成为衡量人类创造力的关键指标。
摘要：
生成式AI正在迅速改变组织创造价值和评估人才的方式。尽管大语言模型提升了基础输出质量，但同时引入了评估人类创造力的模糊性，因为可观测的成果可能是部分或完全由AI生成的。本文重新概念化创造力为一种分布性和过程性的属性，其在共享约束和竞争激励下出现。我们引入了一个量化框架来测量创造力作为合成中的新颖性，通过嵌入空间中的想法生成和想法转换来操作化。实证评估显示，所提出的指标与创造力的直观判断一致，同时捕捉到表面质量评估所遗漏的区分。我们进一步发现，在AI中介的环境中，创意输出呈现出向双峰分布的结构性转变，对招聘、领导力和竞争战略具有影响。研究结果表明，在生成式AI时代，独特性而非流畅性成为衡量人类创造力能力的主要信号。
英文摘要：
Generative AI is rapidly transforming how organizations create value and evaluate talent. While large language models enhance baseline output quality, they simultaneously introduce ambiguity in assessing human creativity, as observable artifacts may be partially or fully AI-generated. This paper reconceptualizes creativity as a distributional and process-based property that emerges under shared constraints and competitive incentives. We introduce a quantitative framework for measuring creativity as novelty in synthesis, operationalized through idea generation and idea transformation within embedding space. Empirical evaluation demonstrates that the proposed metrics align with intuitive judgments of creativity while capturing distinctions that surface-level quality assessments miss. We further identify a structural shift toward bimodal distributions of creative output in AI-mediated environments, with implications for hiring, leadership, and competitive strategy. The findings suggest that in the age of generative AI, distinctiveness rather than fluency becomes the primary signal of human creative capability.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
